| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, J Zhang, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang EMNLP2024, 2024 | 43 | 2024 |
| Strengthening multimodal large language model with bootstrapped preference optimization R Pi, T Han, W Xiong, J Zhang, R Liu, R Pan, T Zhang European Conference on Computer Vision, 382-398, 2025 | 19 | 2025 |
| The Instinctive Bias: Spurious Images lead to Illusion in MLLMs T Han, Q Lian, R Pan, R Pi, J Zhang, S Diao, Y Lin, T Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 13* | 2024 |
| DEMOC: a deep embedded multi-omics learning approach for clustering single-cell CITE-seq data G Zou, Y Lin, T Han, L Ou-Yang Briefings in Bioinformatics 23 (5), bbac347, 2022 | 9 | 2022 |
| Personalized visual instruction tuning R Pi, J Zhang, T Han, J Zhang, R Pan, T Zhang arXiv preprint arXiv:2410.07113, 2024 | 3 | 2024 |
| CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration J Gao, R Pi, T Han, H Wu, L Hong, L Kong, X Jiang, Z Li COLM2024, 2024 | 1 | 2024 |
